Introduction to artificial neural systems
By: Jacek M. Zurada.
Publisher: West
Published: 1992
Place of publication: St. Paul
Language: eng
Number of pages: 683
Subjects: Neural networks (Computer science)
Notes: Includes bibliographical references and index.
Table of contents: title: Preface; label: 1
title: Artificial Neural Systems: Preliminaries
pagenum: 1; label: 1.1
title: Neural Computation: Some Examples and Applications
pagenum: 3; title: Classifiers, Approximators, and Autonomous Drivers
pagenum: 4; title: Simple Memory and Restoration of Patterns
pagenum: 10; title: Optimizing Networks
pagenum: 14; title: Clustering and Feature Detecting Networks
pagenum: 16; label: 1.2
title: History of Artificial Neural Systems Development
pagenum: 17; label: 1.3
title: Future Outlook
pagenum: 21; title: References
pagenum: 22; label: 2
title: Fundamental Concepts and Models of Artificial Neural Systems
pagenum: 25; label: 2.1
title: Biological Neurons and Their Artificial Models
pagenum: 26; title: Biological Neuron
pagenum: 27; title: McCulloch-Pitts Neuron Model
pagenum: 30; title: Neuron Modeling for Artificial Neural Systems
pagenum: 31; label: 2.2
title: Models of Artificial Neural Networks
pagenum: 37; title: Feedforward Network
pagenum: 37; title: Feedback Network
pagenum: 42; label: 2.3
title: Neural Processing
pagenum: 53; label: 2.4
title: Learning and Adaptation
pagenum: 55; title: Learning as Approximation or Equilibria Encoding
pagenum: 55; title: Supervised and Unsupervised Learning
pagenum: 56; label: 2.5
title: Neural Network Learning Rules
pagenum: 59; title: Hebbian Learning Rule
pagenum: 60; title: Perceptron Learning Rule
pagenum: 64; title: Delta Learning Rule
pagenum: 66; title: Widrow-Hoff Learning Rule
pagenum: 69; title: Correlation Learning Rule
pagenum: 69; title: Winner-Take-All Learning Rule
pagenum: 70; title: Outstar Learning Rule
pagenum: 71; title: Summary of Learning Rules
pagenum: 72; label: 2.6
title: Overview of Neural Networks
pagenum: 74; label: 2.7
title: Concluding Remarks
pagenum: 76; title: Problems
pagenum: 78; title: References
pagenum: 89; label: 3
title: Single-Layer Perceptron Classifiers
pagenum: 93; label: 3.1
title: Classification Model, Features, and Decision Regions
pagenum: 94; label: 3.2
title: Discriminant Functions
pagenum: 99; label: 3.3
title: Linear Machine and Minimum Distance Classification
pagenum: 106; label: 3.4
title: Nonparametric Training Concept
pagenum: 114; label: 3.5
title: Training and Classification Using the Discrete Perceptron: Algorithm and Example
pagenum: 120; label: 3.6
title: Single-Layer Continuous Perceptron Networks for Linearly Separable Classifications
pagenum: 132; label: 3.7
title: Multicategory Single-Layer Perceptron Networks
pagenum: 142; label: 3.8
title: Concluding Remarks
pagenum: 152; title: Problems
pagenum: 153; title: References
pagenum: 161; label: 4
title: Multilayer Feedforward Networks
pagenum: 163; label: 4.1
title: Linearly Nonseparable Pattern Classification
pagenum: 165; label: 4.2
title: Delta Learning Rule for Multiperceptron Layer
pagenum: 175; label: 4.3
title: Generalized Delta Learning Rule
pagenum: 181; label: 4.4
title: Feedforward Recall and Error Back-Propagation Training
pagenum: 185; title: Feedforward Recall
pagenum: 185; title: Error Back-Propagation Training
pagenum: 186; title: Example of Error Back-Propagation Training
pagenum: 190; title: Training Errors
pagenum: 195; title: Multilayer Feedforward Networks as Universal Approximators
pagenum: 196; label: 4.5
title: Learning Factors
pagenum: 206; title: Initial Weights
pagenum: 208; title: Cumulative Weight Adjustment versus Incremental Updating
pagenum: 208; title: Steepness of the Activation Function
pagenum: 209; title: Learning Constant
pagenum: 210; title: Momentum Method
pagenum: 211; title: Network Architectures Versus Data Representation
pagenum: 214; title: Necessary Number of Hidden Neurons
pagenum: 216; label: 4.6
title: Classifying and Expert Layered Networks
pagenum: 220; title: Character Recognition Application
pagenum: 221; title: Expert Systems Applications
pagenum: 225; title: Learning Time Sequences
pagenum: 229; label: 4.7
title: Functional Link Networks
pagenum: 230; label: 4.8
title: Concluding Remarks
pagenum: 234; title: Problems
pagenum: 235; title: References
pagenum: 248; label: 5
title: Single-Layer Feedback Networks
pagenum: 251; label: 5.1
title: Basic Concepts of Dynamical Systems
pagenum: 253; label: 5.2
title: Mathematical Foundations of Discrete-Time Hopfield Networks
pagenum: 254; label: 5.3
title: Mathematical Foundations of Gradient-Type Hopfield Networks
pagenum: 264; label: 5.4
title: Transient Response of Continuous-Time Networks
pagenum: 276; label: 5.5
title: Relaxation Modeling in Single-Layer Feedback Networks
pagenum: 283; label: 5.6
title: Example Solutions of Optimization Problems
pagenum: 287; title: Summing Network with Digital Outputs
pagenum: 287; title: Minimization of the Traveling Salesman Tour Length
pagenum: 294; label: 5.7
title: Concluding Remarks
pagenum: 299; title: Problems
pagenum: 301; title: References
pagenum: 310; label: 6
title: Associative Memories
pagenum: 313; label: 6.1
title: Basic Concepts
pagenum: 314; label: 6.2
title: Linear Associator
pagenum: 320; label: 6.3
title: Basic Concepts of Recurrent Autoassociative Memory
pagenum: 325; title: Retrieval Algorithm
pagenum: 327; title: Storage Algorithm
pagenum: 328; title: Performance Considerations
pagenum: 336; label: 6.4
title: Performance Analysis of Recurrent Autoassociative Memory
pagenum: 339; title: Energy Function Reduction
pagenum: 342; title: Capacity of Autoassociative Recurrent Memory
pagenum: 343; title: Memory Convergence versus Corruption
pagenum: 345; title: Fixed Point Concept
pagenum: 349; title: Modified Memory Convergent Toward Fixed Points
pagenum: 351; title: Advantages and Limitations
pagenum: 354; label: 6.5
title: Bidirectional Associative Memory
pagenum: 354; title: Memory Architecture
pagenum: 355; title: Association Encoding and Decoding
pagenum: 357; title: Stability Considerations
pagenum: 359; title: Memory Example and Performance Evaluation
pagenum: 360; title: Improved Coding of Memories
pagenum: 363; title: Multidirectional Associative Memory
pagenum: 368; label: 6.6
title: Associative Memory of Spatio-temporal Patterns
pagenum: 370; label: 6.7
title: Concluding Remarks
pagenum: 375; title: Problems
pagenum: 377; title: References
pagenum: 386; label: 7
title: Matching and Self-Organizing Networks
pagenum: 389; label: 7.1
title: Hamming Net and MAXNET
pagenum: 391; label: 7.2
title: Unsupervised Learning of Clusters
pagenum: 399; title: Clustering and Similarity Measures
pagenum: 399; title: Winner-Take-All Learning
pagenum: 401; title: Recall Mode
pagenum: 406; title: Initialization of Weights
pagenum: 406; title: Separability Limitations
pagenum: 409; label: 7.3
title: Counterpropagation Network
pagenum: 410; label: 7.4
title: Feature Mapping
pagenum: 414; label: 7.5
title: Self-Organizing Feature Maps
pagenum: 423; label: 7.6
title: Cluster Discovery Network (ART1)
pagenum: 432; label: 7.7
title: Concluding Remarks
pagenum: 444; title: Problems
pagenum: 445; title: References
pagenum: 452; label: 8
title: Applications of Neural Algorithms and Systems
pagenum: 455; label: 8.1
title: Linear Programming Modeling Network
pagenum: 456; label: 8.2
title: Character Recognition Networks
pagenum: 464; title: Multilayer Feedforward Network for Printed Character Classification
pagenum: 464; title: Handwritten Digit Recognition: Problem Statement
pagenum: 476; title: Recognition Based on Handwritten Character Skeletonization
pagenum: 478; title: Recognition of Handwritten Characters Based on Error Back-propagation Training
pagenum: 482; label: 8.3
title: Neural Networks Control Applications
pagenum: 485; title: Overview of Control Systems Concepts
pagenum: 485; title: Process Identification
pagenum: 489; title: Basic Nondynamic Learning Control Architectures
pagenum: 494; title: Inverted Pendulum Neurocontroller
pagenum: 499; title: Cerebellar Model Articulation Controller
pagenum: 504; title: Concluding Remarks
pagenum: 511; label: 8.4
title: Networks for Robot Kinematics
pagenum: 513; title: Overview of Robot Kinematics Problems
pagenum: 514; title: Solution of the Forward and Inverse Kinematics Problems
pagenum: 516; title: Comparison of Architectures for the Forward Kinematics Problem
pagenum: 519; title: Target Position Learning
pagenum: 523; label: 8.5
title: Connectionist Expert Systems for Medical Diagnosis
pagenum: 527; title: Expert System for Skin Diseases Diagnosis
pagenum: 528; title: Expert System for Low Back Pain Diagnosis
pagenum: 532; title: Expert System for Coronary Occlusion Diagnosis
pagenum: 537; title: Concluding Remarks
pagenum: 539; label: 8.6
title: Self-Organizing Semantic Maps
pagenum: 539; label: 8.7
title: Concluding Remarks
pagenum: 546; title: Problems
pagenum: 548; title: References
pagenum: 559; label: 9
title: Neural Networks Implementation
pagenum: 565; label: 9.1
title: Artificial Neural Systems: Overview of Actual Models
pagenum: 566; title: Node Numbers and Complexity of Computing Systems
pagenum: 567; title: Neurocomputing Hardware Requirements
pagenum: 569; title: Digital and Analog Electronic Neurocomputing Circuits
pagenum: 575; label: 9.2
title: Integrated Circuit Synaptic Connections
pagenum: 585; title: Voltage-controlled Weights
pagenum: 587; title: Analog Storage of Adjustable Weights
pagenum: 592; title: Digitally Programmable Weights
pagenum: 595; title: Learning Weight Implementation
pagenum: 605; label: 9.3
title: Active Building Blocks of Neural Networks
pagenum: 608; title: Current Mirrors
pagenum: 610; title: Inverter-based Neuron
pagenum: 613; title: Differential Voltage Amplifiers
pagenum: 617; title: Scalar Product and Averaging Circuits with Transconductance Amplifiers
pagenum: 624; title: Current Comparator
pagenum: 626; title: Template Matching Network
pagenum: 628; label: 9.4
title: Analog Multipliers and Scalar Product Circuits
pagenum: 630; title: Depletion MOSFET Circuit
pagenum: 631; title: Enhancement Mode MOS Circuit
pagenum: 636; title: Analog Multiplier with Weight Storage
pagenum: 638; title: Floating-Gate Transistor Multipliers
pagenum: 640; label: 9.5
title: Associative Memory Implementations
pagenum: 644; label: 9.6
title: Electronic Neural Processors
pagenum: 652; label: 9.7
title: Concluding Remarks
pagenum: 663; title: Problems
pagenum: 666; title: References
pagenum: 679; title: Appendix; label: A1
title: Vectors and Matrices
pagenum: A1; label: A2
title: Quadratic Forms and Definite Matrices
pagenum: A10; label: A3
title: Time-Varying and Gradient Vectors, Jacobian and Hessian Matrices
pagenum: A13; label: A4
title: Solution of Optimization Problems
pagenum: A17; label: A5
title: Stability of Nonlinear Dynamical Systems
pagenum: A21; label: A6
title: Analytic Geometry in Euclidean Space in Cartesian Coordinates
pagenum: A29; label: A7
title: Selected Neural Network Related Concepts
pagenum: A38; label: A8
title: MOSFET Modeling for Neural Network Applications
pagenum: A39; label: A9
title: Artificial Neural Systems (ANS) Program Listing
pagenum: A43; title: Index